| Literature DB >> 32582439 |
Daniele Giammaria1, Alessandro Pajewski2.
Abstract
Entities:
Mesh:
Year: 2020 PMID: 32582439 PMCID: PMC7307801 DOI: 10.7189/jogh.10.010377
Source DB: PubMed Journal: J Glob Health ISSN: 2047-2978 Impact factor: 4.413
Algorithm for the identification of subjects at high risk of developing severe forms of COVID-19
| Parameters | Risk factors |
|---|---|
| Age | ≥65 years |
| Sex | Male |
| Comorbidity | 1 or more diseases* |
| Risk assessment | 1 out of 3 (low risk patient) |
| ≥2 out of 3 (high risk patient) |
*Hypertension, diabetes, cardiovascular disease, respiratory diseases, cerebrovascular disease [22,23].